In an age of increasing globalization and discussion of the possibility of global pandemics, increasing rates of reporting of these events may influence public perception of risk. The present studies investigate the impact of high levels of media reporting on the perceptions of disease. Undergraduate psychology and medical students were asked to rate the severity, future prevalence and disease status of both frequently reported diseases (e.g. avian flu) and infrequently reported diseases (e.g. yellow fever). Participants considered diseases that occur frequently in the media to be more serious, and have higher disease status than those that infrequently occur in the media, even when the low media frequency conditions were considered objectively ‘worse’ by a separate group of participants. Estimates of severity also positively correlated with popular print media frequency in both student populations. However, we also see that the concurrent presentation of objective information about the diseases can mitigate this effect. It is clear from these data that the media can bias our perceptions of disease.

British and American speakers exhibit different verb number agreement patterns when sentence subjects have collective head nouns. From linguistic and psycholinguistic accounts of how agreement is implemented, three alternative hypotheses can be derived to explain these differences. The hypotheses involve variations in the representation of notional number, disparities in how notional and grammatical number are used, and inequalities in the grammatical number specifications of collective nouns. We carried out a series of corpus analyses, production experiments, and norming studies to test these hypotheses. The results converge to suggest that British and American speakers are equally sensitive to variations in notional number and implement subjectverb agreement in much the same way, but are likely to differ in the lexical specifications of number for collectives. The findings support a psycholinguistic theory that explains verb and pronoun agreement within a parallel architecture of lexical and syntactic formulation.* * Authors are listed alphabetically.

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This study investigates the role of disfluencies such as "um" or "uh" in conversation to discern whether these features of speech serve listener-or speaker-oriented functions by looking at their occurrence (or lack of occurrence) in the speech of participants with autism. Since the characteristic egocentricity of individuals with autism means they should engage in minimal listener-oriented behavior, they are a useful group to differentiate these functions. Transcription, analysis and categorization of 26 spontaneous language samples were derived from agematched native English-speaking controls and highfunctioning individuals with Autism Spectrum Disorders (ASDs). Results showed that individuals with ASD produced fewer filled-pause words (ums and uhs) and revisions than controls, but more silent pauses and disfluent repetitions. Filled-pause words therefore appear to be listener-oriented features of speech.

This study was designed to investigate the impact of medical terminology on perceptions of disease. Specifically, we look at the changing public perceptions of newly medicalized disorders with accompanying newly medicalized terms (e.g. impotence has become erectile dysfunction disorder). Does using “medicalese” to label a recently medicalized disorder lead to a change in the perception of that condition? Undergraduate students (n = 52) rated either the medical or lay label for recently medicalized disorders (such as erectile dysfunction disorder vs. impotence) and established medical conditions (such as a myocardial infarction vs. heart attack) for their perceived seriousness, disease representativeness and prevalence. Students considered the medical label of the recently medicalized disease to be more serious (mean = 4.95 (SE = .27) vs. mean = 3.77 (SE = .24) on a ten point scale), more representative of a disease (mean = 2.47 (SE = .09) vs. mean = 1.83 (SE = .09) on a four point scale), and have lower prevalence (mean = 68 (SE = 12.6) vs. mean = 122 (SE = 18.1) out of 1,000) than the same disease described using common language. A similar pattern was not seen in the established medical conditions, even when controlled for severity. This study demonstrates that the use of medical language in communication can induce bias in perception; a simple switch in terminology results in a disease being perceived as more serious, more likely to be a disease, and more likely to be a rare condition. These findings regarding the conceptualization of disease have implications for many areas, including medical communication with the public, advertising, and public policy.